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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 24490
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    Explanations

    studies, experiments, and research-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to academic studies and research activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.90
    taboola
    -0.84
    EngineDebug
    -0.80
     thereof
    -0.78
    Adv
    -0.76
    adra
    -0.76
    lest
    -0.76
    ~~~~
    -0.76
    piracy
    -0.72
    deal
    -0.72
    POSITIVE LOGITS
     mice
    1.22
     rats
    1.17
     volunteers
    1.13
     monkeys
    1.07
     samples
    1.05
     participants
    1.05
     twins
    1.02
     chimpanzees
    1.01
     293
    1.00
     undergrad
    0.97
    Activations Density 0.282%

    No Known Activations